Role of remote sensing and community forestry to manage forests for the effective implementation of REDD+ mechanism: A case study on Cambodia

被引：6

作者：

Avtar R. ^{[1
,2
]}

Sawada H. ^{[1
]}

Kumar P. ^{[3
]}

机构：

[1] Institute of Industrial Science, The University of Tokyo, Tokyo

[2] Institute for Sustainability and Peace, United Nations University, Tokyo

[3] Institute of Science and Technology fro Advance Studies and Research, Anand, Gujarat

来源：

Environment, Development and Sustainability | 2013年 / 15卷 / 6期

关键词：

Community forestry; Forest management; REDD+; Remote sensing;

D O I：

10.1007/s10668-013-9448-y

中图分类号：

学科分类号：

摘要：

In this study, we have shown the importance of remote sensing applications and community forestry for forest management, discussed as a case study on Cambodian forest management. Curbing deforestation is necessary for the effective implementation of Reducing Emissions from Deforestation and forests Degradation (REDD+) mechanism and management of forest resources to support sustainable forest management plans. The updated information of the forest cover and forest biomass using advanced remote sensing techniques can be useful for selecting the suitable sites for planned thinning, reforestation, community forestry, and concession land, which eventually will help in controlling the deforestation in Cambodia. To overcome the limitations of remote sensing, an integrated approach of remote sensing and community forestry to monitor forests from local to national level has also been discussed. © 2013 Springer Science+Business Media Dordrecht.

引用

页码：1593 / 1603

页数：10